A knowledge base that actually answers questions
Traditional knowledge bases are document dumps. Done0 uses AI to understand questions and deliver precise answers from your existing content.
The Challenge
Knowledge exists but is unfindable
You have hundreds of KB articles but keyword search returns irrelevant results. Employees give up and open tickets.
Articles are outdated
Nobody maintains the KB. Articles reference old tools, wrong procedures, and deprecated policies.
Language barriers
Your KB is in English but half your employees speak German. Translation is expensive and never up to date.
Articles, not answers
Employees do not want to read a 10-page article. They want the specific answer to their specific question.
How Done0 Solves This
Hybrid Search (Vector + Keyword)
Combines semantic understanding with keyword precision. Finds the right answer even when the question uses different terms than the article.
Cross-Lingual Retrieval
Ask in German, find English articles. Vector embeddings work across languages, so you maintain one KB for all locales.
Conversational Answers
The AI reads the article and provides a direct answer with citations. Employees get the answer, not a link to a document.
Knowledge Gap Analysis
See which questions have no good KB match. Identify gaps and prioritize content creation where it matters most.
Automatic Enrichment
When agents resolve tickets, their solutions can be captured as new KB articles, keeping your knowledge base fresh.
Citation Tracking
Every AI answer includes citations to source articles. Employees can verify and agents can audit.
Frequently Asked Questions
Regular search matches keywords. AI-powered search understands meaning. If an employee asks "my screen is frozen" the AI understands they need troubleshooting help, even if no article contains those exact words.
No. Done0 ingests your existing articles, generates vector embeddings, and makes them searchable via AI immediately. Over time, you can improve content based on gap analysis.
Vector embeddings capture meaning, not words. A German question and an English article about the same topic have similar embeddings. The AI also translates keywords for hybrid search to ensure comprehensive results.
Yes. Done0 supports importing from Confluence, SharePoint, Notion, and other knowledge management systems. Articles are ingested, embedded, and made searchable.
Done0 tracks which articles are cited frequently and which receive negative feedback. Knowledge gap analysis highlights articles that need updating, and usage metrics help you prioritize maintenance efforts.
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